[1] Modeling Interdependent Assets: A Global Perspective
joint with Angelo Luisi
Abstract:
Existing literature acknowledges two key characteristics of asset returns' dynamics: they are interconnected and feature drifting prices. We propose modeling these features jointly using a Global Error Correction Model and demonstrate that this novel methodology systematically improves the fit of buy-and-hold strategies across asset classes. We establish the equivalence between Generalized Impulse Response Functions and the conditional sensitivity of asset returns to unexpected global financial market fluctuations—analogous to the Beta in the CAPM framework. Notably, portfolios with low exposure to systemic market shocks (i.e., low beta) outperform traditional strategies aimed at reducing market risk, such as minimum variance or diversified bond portfolios, particularly over annual holding periods.
Conference presentation:
International Conference in Finance, Accounting, and Banking (Southampton, UK, September 2024)
41st International Conference of the French Finance Association (AFFI) (Dijon, France, May 2025)
29th International Conference on Macroeconomic Analysis and International Finance (Rethymno, Greece, May 2025)
Annual Conferences of the International Association for Applied Econometrics (Turin, Italy, July 2025)
41st meeting of the European Economic Association and the 77th European meeting of the Econometric Society, (August 17-21, Ireland, Dublin)
[2] The Impact of Wildfires on Loss Given Default: Evidence from Defaulted Consumer Credits
joint with Walter Distaso, Angelo Luisi, and Wolfgang Lefever
Link to UGhent WP
Abstract:
Natural disasters are increasingly affecting the financial system. While most of the literature on natural disasters and credit risk focuses on the probability of default, very little is known about what happens after default. In this study, we combine two unique datasets to provide novel empirical evidence on the financial impact of wildfires through a loss given default channel. First, we determine Italian provinces’ exposure to wildfires using geospatial data on burned areas derived from satellite imagery. Second, we exploit a proprietary dataset on defaulted consumer credits obtained from a third-party collection agency in Italy. Our results reveal a robust negative relationship between debtors’ exposure to wildfires and the realized recovery rate. By focusing on wildfires that occur during the recovery process of already-defaulted consumer credits, we are able to isolate a loss given default channel, complementing existing evidence on default probabilities.
Conference presentation:
30th Annual Conference of the European Association of Environmental and Resource Economists (Bergen, Norway, June 2025)
EFic - Conference in Banking and Corporate Finance (Rimini, Italy, June, 2025)
Conference on Sustainable Banking & Finance (Naples, Italy, July 2025)
GRASFI Annual Conference for Sustainable Finance and Investment (Paris, France, August 2025)
XIX Credit Scoring and Credit Control Conference (Edinburgh, UK, August 2025)
[3] Pricing Interconnected yet Heterogeneous Assets: Evidence from the Art Market
joint with Marie Blum and Marc Joets
Abstract:
Markets for unique, infrequently traded assets, such as art, real estate and private equity, are typically studied through aggregate indices. Such indices average out cross-sectional heterogeneity and conceal interdependence among related assets. We propose a reduced-form asset pricing framework that embeds data-driven measures of asset proximity in a dynamic spatial panel model. Applying it to monthly auction returns for 283 artists over 1990–2022, with proximity estimated from return comovement and from textual information on artists' careers, we find that artist returns co-move far more with a proximity-weighted portfolio of peers than with the aggregate market index. Disaggregation also alters inference on macro-financial exposures. Short-term interest rates, producer price inflation and financial uncertainty are associated with artist-level returns, whereas only financial uncertainty matters for the aggregate index. These sensitivities intensify during periods of stress, and interdependence among artists has weakened since 2015.
Conference presentation:
42nd International Conference of the French Finance Association (AFFI) (Clermont-Ferrand, France, June 2026)
[4] Robust Bond Risk Premia: Sparse Macroeconomic Information Matters
joint with Angelo Luisi and Jonas Striaukas
More info coming soon...
[6] On the Comovement of Contango and Backwardation Across Futures Commodity Markets
2026, The Journal of Futures Markets
joint with Angelo Luisi and Athanasios Triantafyllou
[5] Business Cycle and Realized Losses in the Consumer Credit Industry
2025, European Journal of Operational Research
joint with Walter Distaso & Frédéric Vrins
[4] Evaluating Inflation Forecasts in the Euro Area and the Role of the ECB
2025, Journal of Forecasting
joint with Bertrand Candelon
[3] Fragmentation in the European Monetary Union: Is it really over?
2022, Journal of International Money and Finance
joint with Bertrand Candelon & Angelo Luisi
[2] Optimal and Robust Combination of Forecasts via Constrained Optimization and Shrinkage
2022, International Journal of Forecasting
joint with Paolo Gambetti & Frédéric Vrins
For the correction of Proposition 1, please see:
Correction: Optimal and Robust Combination of Forecasts via Constrained Optimization and Shrinkage
[1] Meta-learning approaches for recovery rate prediction
2022, Risks
joint with Paolo Gambetti & Frédéric Vrins
The pros and cons of sectoral macroprudential policy
2026, NBB Economic Review
joint with Thomas Lejeune and Jolan Mohimont
2019, Discussion Paper of the Bank of Slovenia - Prikazi In Analize
Forecasting under uncertainty: combining and evaluating predictive models in economics and finance
2023, Doctoral Thesis, Université catholique de Louvain